Behavioral Inference at Scale: The Fundamental Asymmetry Between Motivations and Belief Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Starace, Jason, Soule, Terence |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-agent Cooperative Games Using Belief Map Assisted Training
by: Huang, Qinwei, et al.
Published: (2024)
by: Huang, Qinwei, et al.
Published: (2024)
Graph Attention Inference of Network Topology in Multi-Agent Systems
by: Kolli, Akshay, et al.
Published: (2024)
by: Kolli, Akshay, et al.
Published: (2024)
Self-Confirming Transformer for Belief-Conditioned Adaptation in Offline Multi-Agent Reinforcement Learning
by: Li, Tao, et al.
Published: (2023)
by: Li, Tao, et al.
Published: (2023)
Robust Federated Inference
by: Dhasade, Akash, et al.
Published: (2025)
by: Dhasade, Akash, et al.
Published: (2025)
Ready from Day 1: Population-Aware Coordination for Large-Scale Constrained Multi-Agent Systems
by: Wang, Angel, et al.
Published: (2026)
by: Wang, Angel, et al.
Published: (2026)
MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming
by: Zheng, Chengqi, et al.
Published: (2025)
by: Zheng, Chengqi, et al.
Published: (2025)
Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning
by: Büchi, Hannes, et al.
Published: (2026)
by: Büchi, Hannes, et al.
Published: (2026)
Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2025)
by: Duan, Wei, et al.
Published: (2025)
Beyond Scaling: Agents Are Heading to the Edge
by: Tian, Chunlin, et al.
Published: (2026)
by: Tian, Chunlin, et al.
Published: (2026)
The Yokai Learning Environment: Tracking Beliefs Over Space and Time
by: Ruhdorfer, Constantin, et al.
Published: (2025)
by: Ruhdorfer, Constantin, et al.
Published: (2025)
Graph-SND: Sparse Aggregation for Behavioral Diversity in Multi-Agent Reinforcement Learning
by: Ray, Shawn
Published: (2026)
by: Ray, Shawn
Published: (2026)
The Practicality of Normalizing Flow Test-Time Training in Bayesian Inference for Agent-Based Models
by: Zhang, Junyao, et al.
Published: (2026)
by: Zhang, Junyao, et al.
Published: (2026)
Learning Collective Behaviors from Observation
by: Feng, Jinchao, et al.
Published: (2023)
by: Feng, Jinchao, et al.
Published: (2023)
Learning safe, constrained policies via imitation learning: Connection to Probabilistic Inference and a Naive Algorithm
by: Papadopoulos, George, et al.
Published: (2025)
by: Papadopoulos, George, et al.
Published: (2025)
Safe Multi-Agent Deep Reinforcement Learning for Privacy-Aware Edge-Device Collaborative DNN Inference
by: Wang, Hong, et al.
Published: (2026)
by: Wang, Hong, et al.
Published: (2026)
Online Relational Inference for Evolving Multi-agent Interacting Systems
by: Kang, Beomseok, et al.
Published: (2024)
by: Kang, Beomseok, et al.
Published: (2024)
Belief Engine: Configurable and Inspectable Stance Dynamics in Multi-Agent LLM Deliberation
by: Yang, Joshua C., et al.
Published: (2026)
by: Yang, Joshua C., et al.
Published: (2026)
Multi-Objective Reinforcement Learning for Large-Scale Mixed Traffic Control
by: Islam, Iftekharul, et al.
Published: (2025)
by: Islam, Iftekharul, et al.
Published: (2025)
MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits
by: Zhang, Yuhang, et al.
Published: (2023)
by: Zhang, Yuhang, et al.
Published: (2023)
Behavioral Heterogeneity as Quantum-Inspired Representation
by: Elayan, Mohammad, et al.
Published: (2026)
by: Elayan, Mohammad, et al.
Published: (2026)
Large-Scale Mixed-Traffic and Intersection Control using Multi-agent Reinforcement Learning
by: Liu, Songyang, et al.
Published: (2025)
by: Liu, Songyang, et al.
Published: (2025)
The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning
by: Baheri, Ali, et al.
Published: (2024)
by: Baheri, Ali, et al.
Published: (2024)
Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping
by: Krishnan, Srivatsan, et al.
Published: (2025)
by: Krishnan, Srivatsan, et al.
Published: (2025)
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
by: Zhu, Liwen, et al.
Published: (2021)
by: Zhu, Liwen, et al.
Published: (2021)
Automatic Construction of Clinical Scoring Systems with LLM Agents
by: Estévez, Silas Ruhrberg, et al.
Published: (2026)
by: Estévez, Silas Ruhrberg, et al.
Published: (2026)
Conformal Off-Policy Prediction for Multi-Agent Systems
by: Kuipers, Tom, et al.
Published: (2024)
by: Kuipers, Tom, et al.
Published: (2024)
OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning
by: Oliveira, Alexandre, et al.
Published: (2025)
by: Oliveira, Alexandre, et al.
Published: (2025)
MasRouter: Learning to Route LLMs for Multi-Agent Systems
by: Yue, Yanwei, et al.
Published: (2025)
by: Yue, Yanwei, et al.
Published: (2025)
Multi-Agent Systems are Mixtures of Experts: Who Becomes an Influencer?
by: Bause, Franka, et al.
Published: (2026)
by: Bause, Franka, et al.
Published: (2026)
Approximate Global Convergence of Independent Learning in Multi-Agent Systems
by: Jin, Ruiyang, et al.
Published: (2024)
by: Jin, Ruiyang, et al.
Published: (2024)
Communication Learning in Multi-Agent Systems from Graph Modeling Perspective
by: Hu, Shengchao, et al.
Published: (2024)
by: Hu, Shengchao, et al.
Published: (2024)
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems
by: Suau, Miguel, et al.
Published: (2022)
by: Suau, Miguel, et al.
Published: (2022)
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
by: Zhang, Guibin, et al.
Published: (2024)
by: Zhang, Guibin, et al.
Published: (2024)
Emergence of Hierarchies in Multi-Agent Self-Organizing Systems Pursuing a Joint Objective
by: Chen, Gang, et al.
Published: (2025)
by: Chen, Gang, et al.
Published: (2025)
Designing Dynamic Pricing for Bike-sharing Systems via Differentiable Agent-based Simulation
by: Mitomi, Tatsuya, et al.
Published: (2025)
by: Mitomi, Tatsuya, et al.
Published: (2025)
Collaboration Between the City and Machine Learning Community is Crucial to Efficient Autonomous Vehicles Routing
by: Psarou, Anastasia, et al.
Published: (2025)
by: Psarou, Anastasia, et al.
Published: (2025)
Learning Incentive Structures for Cooperative Resilience in Multi-Agent Systems under Social Dilemmas
by: Chacon-Chamorro, Manuela, et al.
Published: (2026)
by: Chacon-Chamorro, Manuela, et al.
Published: (2026)
Governance-Aware Agent Telemetry for Closed-Loop Enforcement in Multi-Agent AI Systems
by: Pathak, Anshul, et al.
Published: (2026)
by: Pathak, Anshul, et al.
Published: (2026)
Strategic Coordination for Evolving Multi-agent Systems: A Hierarchical Reinforcement and Collective Learning Approach
by: Qin, Chuhao, et al.
Published: (2025)
by: Qin, Chuhao, et al.
Published: (2025)
Data-Driven Discovery of Emergent Dynamics in Reaction-Diffusion Systems from Sparse and Noisy Observations
by: Dwivedi, Saumitra, et al.
Published: (2025)
by: Dwivedi, Saumitra, et al.
Published: (2025)
Similar Items
-
Multi-agent Cooperative Games Using Belief Map Assisted Training
by: Huang, Qinwei, et al.
Published: (2024) -
Graph Attention Inference of Network Topology in Multi-Agent Systems
by: Kolli, Akshay, et al.
Published: (2024) -
Self-Confirming Transformer for Belief-Conditioned Adaptation in Offline Multi-Agent Reinforcement Learning
by: Li, Tao, et al.
Published: (2023) -
Robust Federated Inference
by: Dhasade, Akash, et al.
Published: (2025) -
Ready from Day 1: Population-Aware Coordination for Large-Scale Constrained Multi-Agent Systems
by: Wang, Angel, et al.
Published: (2026)